Label-Free Multiphoton Microscopy for intraoperative Identification of Glioma Features and Tumor Heterogeneity - Report - MDSpire

Label-Free Multiphoton Microscopy for intraoperative Identification of Glioma Features and Tumor Heterogeneity

  • By

  • Duncker, León V.

  • Richter, Sven

  • Galli, Roberta

  • Meinhardt, Matthias

  • Hoffmann, Leon C.

  • Kirsche, Katrin

  • Großer, Lidia

  • Temme, Achim

  • Eyüpoglu, Ilker Y.

  • Uckermann, Ortrud

  • June 22, 2026

  • 0 min

Share

Clinical Report: Intraoperative Characterization of Glioma Characteristics

Overview

This study investigates the use of label-free multiphoton imaging modalities for intraoperative glioma characterization. Specific tissue features were identified and quantified to differentiate between WHO grade 2 and grade 4 gliomas.

Background

Diffuse gliomas are a heterogeneous group of brain tumors with varying biological behaviors and aggressiveness. Accurate intraoperative assessment of tumor subtype and grade is crucial for adapting surgical strategies. The integration of advanced imaging techniques may enhance real-time decision-making during glioma surgeries.

Data Highlights

FeatureDetection MethodAssociated Malignancy
Lipid dropletsCARSHigher in malignant tumors
Cellular structuresAFHigher in malignant tumors
Blood vesselsSHGHigher in malignant tumors

Key Findings

  • CARS detected lipid droplets associated with tumor malignancy.
  • AF visualized cellular structures relevant for glioma grading.
  • SHG identified blood vessels and extracellular matrix remodeling in tumors.
  • Statistically significant differences in feature prevalence were observed among tumor types.
  • The highest malignancy scores were exclusively found in WHO grade 4 tumors.

Clinical Implications

Label-free multiphoton imaging may provide surgeons with insights into tumor characteristics during surgery.

Conclusion

Label-free multiphoton imaging demonstrates potential as an intraoperative diagnostic tool for gliomas.

Related Resources & Content

  1. npj Digital Medicine, 2025 -- Rapid multimodal imaging integrated with machine learning reveals taurine as a potential biomarker for assessing breast cancer surgical margins
  2. Journal of Neuro-Oncology, 2009 -- Integration of preoperative anatomic and metabolic physiologic imaging of newly diagnosed glioma
  3. Journal of Neuro-Oncology, 2010 -- Characterization of a human tumorsphere glioma orthotopic model using magnetic resonance imaging
  4. Journal of Neuro-Oncology, 2024 -- Utilizing MRI and Deep Learning to Anticipate 5-ALA-Induced Tumor Fluorescence During Surgery in Gliomas Exhibiting Radiographic Lower-Grade Features
  5. EANS-EANO guidelines on the extent of resection in gliomas | Neuro-Oncology | Oxford Academic
  6. Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a randomised controlled multicentre phase III trial - PubMed
  7. Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning - PMC
  8. EANS-EANO guidelines on the extent of resection in gliomas | Neuro-Oncology | Oxford Academic
  9. Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a randomised controlled multicentre phase III trial - PubMed
  10. Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning - PMC

Original Source(s)

Related Content